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objective will be achieved using engineering and CFD tools capable of addressing high-speed, turbulence, transition, high-speed combustion, and the thermo-mechanical coupling with the thermal protection and
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The Multi-Physics Computations group at Argonne National Laboratory is seeking to hire a postdoctoral appointee on the topic of CFD modeling of internal combustion engines fueled by low-carbon fuels
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reacting flows. A novel aspect of the project is the use of highly perturbed laminar flame simulations to inform CFD modelling of turbulent combustion in lean hydrogen-air mixtures. Experimental work will be
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to devise printing strategies for sustainable AM to enhance powder recycling and reuse. You will use and help develop both AI/ML and high fidelity CFD models of the AM process. You will work closely with
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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. To achieve this ojective, the project will combine scale-resolved CFD (PANS and LES) with experimental studies to analyze airflow near and beyond stall as well as around the hull. The postdoc will develop
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mass transfer, and process engineering Extensive experience in modeling and simulation and ideally knowledge of CFD software (e.g., Ansys Fluent, OpenFOAM, COMSOL) Very good programming skills
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or semester interns. Your profile PhD in Materials Science, Mechanical Engineering, Manufacturing Technology or similar fields Experienced in CFD and FEM simulations using tools such as OpenFOAM (preferably